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Rain Scene Animation through Particle Systems and Surface Flow Simulation by SPH

Bruno Barcellos Coutinho, Antonio A. F. Oliveira, Yalmar Ponce Atencio, Gilson Antonio Giraldi

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce 9800 GTX, OpenGL, Particle simulation, Rendering

August 11, 2011 by hgpu

The DabR – A multitouch system for intuitive 3D scene navigation

Jorg Edelmann, Andreas Schillin, Sven Fleck

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Tags: Algorithms, Computer science, Computer vision, Interactive application, nVidia, nVidia GeForce 8800 GTS, OpenGL

August 11, 2011 by hgpu

A view-dependent adaptivity metric for real time mesh tessellation

Tamy Boubekeur

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Real-time graphics, Rendering, Tessellation

August 10, 2011 by hgpu

THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

Multi-layer depth peeling via fragment sort

Baoquan Liu, Li-Yi Wei, Ying-Qing Xu, Enhua Wu

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Tags: Algorithms, Computer science, HLSL, nVidia, nVidia GeForce 6800, Rendering, Sorting

August 10, 2011 by hgpu

A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

John Plate, Thorsten Holtkaemper, Bernd Froehlich

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

August 10, 2011 by hgpu

Real-time continuum grass

Kan Chen, Henry Johan

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4850, Computer science, DirectX, nVidia, nVidia GeForce 8600 GTS, Virtual reality

August 10, 2011 by hgpu

Performance evaluation and optimization of random memory access on multicores with high productivity

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 4600, Optimization

August 10, 2011 by hgpu

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Peter Kuchnio, David W. Capson

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

August 10, 2011 by hgpu

Approaches for parallelizing reductions on modern GPUs

Xin Huo, V.T. Ravi, Wenjing Ma, G. Agrawal

Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia

August 10, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh, Ruth Pordes

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

Rain Scene Animation through Particle Systems and Surface Flow Simulation by SPH

The DabR – A multitouch system for intuitive 3D scene navigation

A view-dependent adaptivity metric for real time mesh tessellation

Multi-layer depth peeling via fragment sort

A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

Real-time continuum grass

Performance evaluation and optimization of random memory access on multicores with high productivity

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Approaches for parallelizing reductions on modern GPUs

G-NetMon: A GPU-accelerated Network Performance Monitoring System

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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